SIMULATION OF THE EFFECTS OF URBANIZATION ON BASIN STREAMFLOW1

ABSTRACT: The hydrologic modeling of streamflow in the Waterford River Basin has been conducted as part of comprehensive investigations of the effects of urbanization on water resources in the basin. Using a detailed input data base, continuous simulation of streamflow in the study area has been done by means of the HSPF model, which has been calibrated for the existing conditions and then applied to several future land use scenarios. The basin climate and geology contribute to high conversion of precipitation into streamflow under the existing conditions. Consequently, future urban development in the study basin should not increase the annual streamflow, but would contribute to increases in peak flows and the incidence of flooding because of the increased speed of runoff. If the impervious area in the basin is doubled, the peak flows may increase by about 20 percent.     

APPLICATION OF THE DR3M WATERSHED MODEL ON A SMALL URBAN BASIN1

ABSTRACT: Data collected at a 79-acre urban watershed in Albuquerque, New Mexico, were used to calibrate and verify the Distributed Routing Rainfall-Runoff Model, a parametric watershed model. Standard errors of estimate for the 38 calibration storms were 33 percent and 38 percent, respectively, for volumes and peaks; and for the 46 verification storms were 29 percent and 37 percent, respectively, for volumes and peaks. Correlation coefficients for peaks were 0.8 and 0.95, respectively, for calibration and verification storms.     

加速度场中六维力传感器研制

针对加速度场中惯性效应对六维力测量的影响,提出一体化平面结构的六维力传感器设计思想,从传感器结构设计、标定方法等方面进行了详细介绍,为解决多维加速度场中六维力的测量问题和综合离心试验所需多维力传感器设计提供理论与方法指导。     

环境行业标准方法测定COD的PLS改进

文章采用偏最小二乘法改进校正模型,在测定COD值的高量程和低量程范围内分别建立PLS模型,预测结果与GB法测定COD值的相对误差为4.47%和4.09%,具有较好的一致性。研究解决了环境行业标准快速消解分光光度法测定水质化学需氧量中直线拟合回归不确定性的问题。     

大型污水输送系统的水力模拟模型

利用InfoWorks软件模拟了上海市污水治理二期工程的水力学特征。根据实际运行数据校正了阻力系数 ,并对模型进行了客观验证。结果表明 ,采用的水力模型可以很好地体现上海市污水治理二期工程污水输送系统的运行状况。采用自动水泵运行顺序可以获得比手动控制更稳定的水位。非满流存在于M2泵站前的某些管段中 ,为了提高大流量下整个系统的输送能力 ,SA和M2泵站之间的管线调储能力可充分利用。     

臭氧监测仪实验室校准及稳定性测试

以国内监测系统在用的臭氧校准仪为二级传递标准对臭氧监测仪开展了实验室校准,通过计算单次校准所得校准曲线的斜率和截距,符合中国相关标准中关于臭氧监测仪的校准指标:多点校准所得校准曲线的斜率为0.95~1.05,截距为-5~5 nmol/mol。进一步对2台臭氧监测仪进行了稳定性测试,12个月内臭氧监测仪的斜率变化为0.976 05~1.008 42,截距变化为-0.669 00~0.577 93 nmol/mol,臭氧监测仪的斜率、截距均符合臭氧监测仪校准指标的要求。稳定性测试表明,TF 49i型臭氧监测仪和EC 9810型臭氧监测仪经校准后均可用于实验室内臭氧标准传递比对工作。实验中臭氧监测仪更换臭氧涤除器、仪器零件后校准曲线的斜率均有明显变化,建议更换耗材后需采用高浓度臭氧对臭氧监测仪进行饱和并再次校准。     

基于风险的报警优先级量化设定方法研究

当前主流报警优先级设定方法操作性不佳,在进行装置报警系统优化时由于考虑维度少而无法较好优化报警系统优先级,针对该问题,建立了基于风险的报警优先级设定新方法。将标定的风险图法应用于报警优先级设定,假定某报警不存在,对出现危险情况的频率、后果严重度、可用时间、避免事故后果的可能性等进行标定,并对危险状况出现频率与可用时间进行矩阵分析,将结果运用于风险图中;针对某柴油加氢装置报警系统,应用该方法进行了报警优先级优化。结果表明:基于风险的报警优先级量化设定方法能够有效应用于优化装置报警优先级;经该方法优化的各级报警,数量分布更接近EEMUA的推荐值;对于“在所考虑的报警不存在时每年发生事故的次数”因素,研究给出3个不同的档次供企业选择,实践中,企业可结合自身可接受标准,作进一步完善。     

Impact of Length of Dataset on Streamflow Calibration Parameters and Performance of APEX Model

Due to resource constraints, long‐term monitoring data for calibration and validation of hydrologic and water quality models are rare. As a result, most models are calibrated and, if possible, validated using limited measured data. However, little research has been done to determine the impact of length of available calibration data on model parameterization and performance. The main objective of this study was to evaluate the impact of length of calibration data (LCD) on parameterization and performance of the Agricultural Policy Environmental eXtender model for predicting daily, monthly, and annual streamflow. Long‐term (1984‐2015) measured daily streamflow data from Rock Creek watershed, an agricultural watershed in northern Ohio, were used for this study. Data were divided into five Short (5‐year), two Medium (15‐year), and one Long (25‐year) streamflow calibration data scenarios. All LCD scenarios were calibrated and validated at three time steps: daily, monthly, and annual. Results showed LCD affected the ability of the model to accurately capture temporal variability in simulated streamflow. However, overall average streamflow, water budgets, and crop yields were simulated reasonably well for all LCD scenarios.     

Effect Of Reagent (Dye) Addition In Wet Chemical Method Of Sulfur Dioxide Determination In Ambient Air

For measurement of sulfur dioxide (SO₂) in ambient air, the United States Environment Protection Agency (US EPA) had recommended the PRA dye-based colorimetric method as a reference technique. The method has been developed and applied in many countries for a longtime; however information regarding the sensitivity of the method with respect to sampling and analysis conditions is not available. Collaborative studies conducted in some of the South East Asian countries indicated substantial variations (of the order of 50%) in the measured concentrations against the true values. It was observed that dye used for color development plays an important role and even a slight variation in the way the dye solution is prepared can cause substantial variation in the measured SO₂ concentration. Because a major objective of air quality measurements is to relate air pollution concentration to the effects of air pollution, it is important that the method used should yield accurate levels of the pollutant, so that appropriate management plans can be devised and implemented effectively. In the present investigation, therefore, the role of dye used in SO₂ monitoring method has been highlighted. Different makes of dyes prepared in different modes were used to study the variation in the measured SO₂ concentration levels. Specifications of all the dyes were also tested. Need for use of certified reference material (CRM) for SO₂ has also been emphasized.     

A Bayesian hierarchical framework for calibrating aquatic biogeochemical models

Model practitioners increasingly place emphasis on rigorous quantitative error analysis in aquatic biogeochemical models and the existing initiatives range from the development of alternative metrics for goodness of fit, to data assimilation into operational models, to parameter estimation techniques. However, the treatment of error in many of these efforts is arguably selective and/or ad hoc. A Bayesian hierarchical framework enables the development of robust probabilistic analysis of error and uncertainty in model predictions by explicitly accommodating measurement error, parameter uncertainty, and model structure imperfection. This paper presents a Bayesian hierarchical formulation for simultaneously calibrating aquatic biogeochemical models at multiple systems (or sites of the same system) with differences in their trophic conditions, prior precisions of model parameters, available information, measurement error or inter-annual variability. Our statistical formulation also explicitly considers the uncertainty in model inputs (model parameters, initial conditions), the analytical/sampling error associated with the field data, and the discrepancy between model structure and the natural system dynamics (e.g., missing key ecological processes, erroneous formulations, misspecified forcing functions). The comparison between observations and posterior predictive monthly distributions indicates that the plankton models calibrated under the Bayesian hierarchical scheme provided accurate system representations for all the scenarios examined. Our results also suggest that the Bayesian hierarchical approach allows overcoming problems of insufficient local data by “borrowing strength” from well-studied sites and this feature will be highly relevant to conservation practices of regions with a high number of freshwater resources for which complete data could never be practically collected. Finally, we discuss the prospect of extending this framework to spatially explicit biogeochemical models (e.g., more effectively connect inshore with offshore areas) along with the benefits for environmental management, such as the optimization of the sampling design of monitoring programs and the alignment with the policy practice of adaptive management.